Flexible platform for AI and machine learning with Python

Quickly and easily build, train, host, and deploy models from any Python environment with Azure services for data science and machine learning. Or bring in pre-built AI solutions to deliver cutting-edge experiences to your Python apps.

Our tools for Python development—or yours

Build and debug your Python apps with Visual Studio Code, and push your apps to the cloud with a few clicks. Then try our cloud-based Azure DevOps and adopt a full DevOps lifecycle for your Python apps. Or bring the tools you’re used to.

See what's possible

Focus on your application’s code, not on infrastructure. Run Django and Flask apps on our serverless platform with Azure Web Apps on Linux or Azure Functions while Azure takes care of the underlying infrastructure.

Azure offers both relational and non-relational databases as managed services. Easily add these to your Python apps, choosing from among managed solutions for PostgreSQL and MySQL, Redis, Azure Cosmos DB (compatible with MongoDB), and other services.

Data scientists working with Python can use familiar tools. Get started quickly with a fully managed Jupyter notebook using Azure Notebooks, or run your experiments with Data Science Virtual Machines for a user-friendly environment that provides popular tools for data exploration, modeling, and development.

Try Visual Studio Code, our popular editor for building and debugging Python apps. It’s free and open-source, and runs on macOS, Linux, and Windows. With many powerful extensions, you can deploy and remotely debug your apps in the cloud with just a few clicks, without leaving the editor.

Then host your private Git repositories, run CI/CD pipelines on Linux, and plan your work with agile Azure Boards using cloud-based Azure DevOps—always free for individuals and small teams up to five.